Name | ayrun-jsonkit JSON |
Version |
1.1.0
JSON |
| download |
home_page | https://github.com/ayrun3412/JSONKit |
Summary | A library for enhanced JSON file handling with support for datetime and UUID objects, both synchronously and asynchronously. |
upload_time | 2024-09-17 07:21:05 |
maintainer | None |
docs_url | None |
author | ayrun |
requires_python | <4.0,>=3.12 |
license | MIT |
keywords |
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
|
<p align="center">
<img src="./assets/jsonkit_logo.png" alt="JSONKit Logo"/>
</p>
<hr>
<h4 align="center">🚀 <i>Your toolkit for seamless JSON handling.</i></h4>
<p align="center">
<a href="#️overview">Overview</a> •
<a href="#features">Features</a> •
<a href="#installation">Installation</a> •
<a href="#usage">Usage</a> •
<a href="#license">License</a> •
<a href="#contributing">Contributing</a>
</p>
# Overview
JSONKit is a Python Library for enhanced JSON file handling with support for `datetime` and `UUID` objects. It provides both `synchronous` and `asynchronous` file operations.
## Features
- **Synchronous Operations**: Read and write JSON files with custom encoding and decoding for `datetime` and `UUID` objects.
- **Asynchronous Operations**: Handle JSON files asynchronously using `aiofiles`.
- **Custom Serialization**: Special handling for `datetime` and `UUID` types.
## Installation
You can install JSONKit via pip:
```bash
pip install ayrun-jsonkit
```
## Usage
#### Synchronous Usage:
```python
from jsonkit import JSONFile
from datetime import datetime
import uuid
# Initialize the JSONFile object
json_file = JSONFile('example.json')
# Write data to the file
data = {
"name": "Alice",
"age": 30,
"created_at": datetime.now(),
"id": uuid.uuid4()
}
# The 'write' function automatically returns the loaded data. So you can either choose to do this:
loaded_data = json_file.write(data, indent=4)
print(loaded_data)
# Or:
json_file.write(data, indent=4)
loaded_data = json_file.load()
print(loaded_data)
```
#### Asynchronous Usage:
```python
from jsonkit import AsyncJSONFile
from datetime import datetime
import uuid
import asyncio
async def main():
# Initialize the AsyncJSONFile object
async_json_file = AsyncJsonFile('data.json')
# Write data to the file
data = {
"name": "Bob",
"age": 25,
"created_at": datetime.now(),
"id": uuid.uuid4()
}
# The 'write' function automatically returns the loaded data. So you can either choose to do this:
loaded_data = await async_json_file.write(data, indent=4)
print(loaded_data)
# Or:
await async_json_file.write(data, indent=4)
loaded_data = await async_json_file.load()
print(loaded_data)
# Run the async main function
asyncio.run(main())
```
## License
JSONKit is licensed under the MIT License. See the [LICENSE](./LICENSE) file for more details.
## Contributing
Contributions are welcome! Please open an issue or submit a pull request.
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"description": "<p align=\"center\">\n <img src=\"./assets/jsonkit_logo.png\" alt=\"JSONKit Logo\"/>\n</p>\n<hr>\n<h4 align=\"center\">\ud83d\ude80 <i>Your toolkit for seamless JSON handling.</i></h4>\n\n<p align=\"center\">\n <a href=\"#\ufe0foverview\">Overview</a> \u2022\n <a href=\"#features\">Features</a> \u2022\n <a href=\"#installation\">Installation</a> \u2022\n <a href=\"#usage\">Usage</a> \u2022\n <a href=\"#license\">License</a> \u2022\n <a href=\"#contributing\">Contributing</a>\n</p>\n\n# Overview\n\nJSONKit is a Python Library for enhanced JSON file handling with support for `datetime` and `UUID` objects. It provides both `synchronous` and `asynchronous` file operations.\n\n## Features\n\n- **Synchronous Operations**: Read and write JSON files with custom encoding and decoding for `datetime` and `UUID` objects.\n- **Asynchronous Operations**: Handle JSON files asynchronously using `aiofiles`.\n- **Custom Serialization**: Special handling for `datetime` and `UUID` types.\n\n## Installation\n\nYou can install JSONKit via pip:\n\n```bash\npip install ayrun-jsonkit\n```\n\n## Usage\n\n#### Synchronous Usage:\n\n```python\nfrom jsonkit import JSONFile\nfrom datetime import datetime\nimport uuid\n\n# Initialize the JSONFile object\njson_file = JSONFile('example.json')\n\n# Write data to the file\ndata = {\n \"name\": \"Alice\",\n \"age\": 30,\n \"created_at\": datetime.now(),\n \"id\": uuid.uuid4()\n}\n\n# The 'write' function automatically returns the loaded data. So you can either choose to do this:\nloaded_data = json_file.write(data, indent=4)\nprint(loaded_data)\n\n# Or:\njson_file.write(data, indent=4)\nloaded_data = json_file.load()\nprint(loaded_data)\n```\n\n#### Asynchronous Usage:\n\n```python\nfrom jsonkit import AsyncJSONFile\nfrom datetime import datetime\nimport uuid\nimport asyncio\n\nasync def main():\n # Initialize the AsyncJSONFile object\n async_json_file = AsyncJsonFile('data.json')\n\n # Write data to the file\n data = {\n \"name\": \"Bob\",\n \"age\": 25,\n \"created_at\": datetime.now(),\n \"id\": uuid.uuid4()\n }\n\n # The 'write' function automatically returns the loaded data. So you can either choose to do this:\n loaded_data = await async_json_file.write(data, indent=4)\n print(loaded_data)\n\n # Or:\n await async_json_file.write(data, indent=4)\n loaded_data = await async_json_file.load()\n print(loaded_data)\n\n# Run the async main function\nasyncio.run(main())\n```\n\n## License\n\nJSONKit is licensed under the MIT License. See the [LICENSE](./LICENSE) file for more details.\n\n## Contributing\n\nContributions are welcome! Please open an issue or submit a pull request.\n",
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